- Unsupervised Learning
- Feature Engineering
- Data Manipulation
- Supervised Learning
- Classification Algorithms
- Natural Language Processing
- Pandas (Python Package)
- Scikit Learn (Machine Learning Library)
- Data Preprocessing
- Python Programming
- Text Mining
Applied Text Mining in Python
Completed by Victor Ruiz
June 12, 2024
25 hours (approximately)
Victor Ruiz's account is verified. Coursera certifies their successful completion of Applied Text Mining in Python
What you will learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you will gain
